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» Learning with Local and Global Consistency
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CLOR
2006
15 years 9 months ago
A Sparse Object Category Model for Efficient Learning and Complete Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
Robert Fergus, Pietro Perona, Andrew Zisserman
CEC
2007
IEEE
15 years 10 months ago
Mobile robot global localization using differential evolution and particle swarm optimization
For a mobile robot to move in a known environment and operate successfully, first it needs to robustly determine its initial position and orientation relative to the map, and then ...
Ali R. Vahdat, Naser NourAshrafoddin, Saeed Shiry ...
SIGIR
2002
ACM
15 years 5 months ago
Effective collection metasearch in a hierarchical environment: global vs. localized retrieval performance
We compare standard global IR searching with user-centric localized techniques to address the database selection problem. We conduct a series of experiments to compare the retriev...
Jack G. Conrad, Changwen Yang, Joanne S. Claussen
EVOW
2007
Springer
16 years 3 days ago
An Adaptive Global-Local Memetic Algorithm to Discover Resources in P2P Networks
This paper proposes a neural network based approach for solving the resource discovery problem in Peer to Peer (P2P) networks and an Adaptive Global Local Memetic Algorithm (AGLMA)...
Ferrante Neri, Niko Kotilainen, Mikko Vapa
IJCAI
2003
15 years 7 months ago
Consistent, Convergent, and Constant-Time SLAM
This paper presents a new efficient algorithm for simultaneous localization and mapping (SLAM), using multiple overlapping submaps, each built with respect to a local frame of re...
John J. Leonard, Paul M. Newman